Top Software Engineer Jobs

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

The Senior Staff Engineer at GEICO will lead engineering teams to develop AI-powered solutions, ensuring high-quality systems and driving innovation in a fast-paced environment.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

Own and architect the frontend foundation for Handshake AI Enterprise: establish component system, design tokens, engineering patterns, shared libraries, and ship production-grade UIs while collaborating with AI and platform teams to ensure scalable, maintainable, high-performance enterprise deployments.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

Build frontend experiences for autonomous AI agents, including conversational interfaces, memory and context views, live run timelines, approval flows, worker configuration, and reusable agentic components. Develop real-time interfaces using streaming, WebSockets, and server-sent events while managing complex client state, reconnection, partial results, and failure recovery. Collaborate with backend and agent engineers to shape APIs and deliver fast, accessible, polished products.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

Build and evolve ngrok’s AI Gateway, including real-time AI traffic handling, policy enforcement, rate limits, usage caps, access rules, token tracking, observability, and explainability. Design customer-focused gateway abstractions and collaborate with Gateway, Customer Data, Platform, product, and design teams to align enforcement, usage, and billing signals. The role involves full-stack development using primarily Go and TypeScript in a production AWS, Kubernetes, and distributed-systems environment.

Build and maintain high-throughput, low-latency backend services for Life360’s AdServer and Exchange platform. Own projects from architecture and implementation through deployment, improve real-time bidding and auction logic, integrate advertising partners, and support observability, incident response, and reliability. Collaborate with architects and product teams, use AI coding tools daily, mentor junior engineers, and contribute to engineering standards.

Own the design-for-manufacturing software layer of the Matter Compiler CAM stack. Develop computational geometry algorithms, manufacturability constraints, layout and retention logic, physical process models, validation systems, and production knowledge bases. Collaborate with AI, modeling, design, and process engineering teams to translate manufacturing expertise into auditable, testable code and validate results against fab runs.

Develop and support enterprise RPA solutions, including unattended UiPath robots, workflow automation, API and REST integrations, Office 365 automation, OCR, Document Understanding, and AI Fabric implementations. Responsibilities include technical design, development, robot monitoring and support, customer collaboration, process analysis, documentation, and applying RPA development best practices.

Develop and maintain full-stack web applications, including React-based interfaces, backend services, RESTful APIs, and Oracle PL/SQL solutions. Lead application analysis, design, development, testing, deployment, troubleshooting, security, and operational support. Collaborate with technology teams and business stakeholders, apply Agile practices, use CI/CD tools, leverage AI coding assistants, assess risks, and mentor junior analysts while operating with limited supervision.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Design, build, and operate cloud-scale, multi-tenant services for Microsoft Edge and Copilot App management. Lead architecture, cross-team integrations, reliability, security, and production operations. Mentor engineers, drive technical direction, and use telemetry and customer feedback to improve enterprise management and AI-powered productivity experiences.

Develop, test, deploy, and maintain .NET-centric web applications using C#, Angular 17+, and Azure. Build and consume REST APIs, work with SQL Server, source control, CI/CD pipelines, and collaborate on code reviews, debugging, performance optimization, and third-party integrations.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

Designs, develops, tests and maintains complex multi-technology applications; leads requirements gathering, code and design reviews, change requests, on-call coordination, mentoring, and small-to-medium projects while proposing technical solutions and vendor evaluations.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.